Build and maintain web crawlers across social, travel, and multilingual domains.
Design high-throughput, fault-tolerant collection systems processing billions of URLs daily.
Adapt crawling methods to anti-bot systems, rate limits, and dynamic websites.
They build large-scale web data systems for AI research and model development. They are a growing team focused on reliable data collection and dataset curation.
Build the extraction pipeline that turns raw data into structured memory, tuning LLM prompts and schemas.
Own the retrieval path that answers 'what do we know about this person?' in milliseconds, using embeddings and vector search.
Contribute to the eval systems that tell us whether memory is actually getting better, turning quality into benchmarks.
We are shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. We are a remote-first company with a strong culture of connection and global inclusion, with a vibrant team making a global impact.
Lead architecture and technical decision-making across the data lifecycle, from ingestion to consumption by products and AI.
Drive modern engineering approaches through proofs of concept, technology evaluation, and reimagining solutions for scale.
Mentor engineers and build a culture of strong software engineering practices, experimentation, and shared technical ownership.
Applied Systems provides software, data, and intelligent systems that connect agencies and carriers across the insurance lifecycle. With 40+ years in insurtech, the company builds on a culture of learning, experimentation, and shared ownership.
Contribute to architecture and improvement of our data acquisition and processing platform.
Use and develop web crawling technologies to capture and catalog data on the internet.
Design and develop backend services for distributed job orchestration, data pipelines, and large-scale asynchronous workloads.
People Data Labs is a provider of people and company data, integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. We are a team focused on extreme ownership and a one-team mindset, embracing failure as a learning opportunity.
Build and optimize time series forecasting models for weather, energy market prices, and electricity grid supply and demand.
Translate analytical models into robust, production-ready code that powers a live energy trading platform.
Collaborate in a fully remote team using Python, SQL, and modern AI-powered coding tools to drive data-informed trading decisions.
The company operates a live energy trading platform powered by advanced forecasting solutions. It fosters a fully remote, distributed culture that values quantitative expertise, technical excellence, and practical problem-solving.
Own production machine learning models for churn, retention, and segmentation using structured customer data.
Improve prediction accuracy by fixing data quality issues, preventing leakage, and building automated evaluation systems.
Collaborate with backend engineers to integrate ML improvements into the Go production codebase.
The company builds data-driven customer decision products powered by machine learning. It is a US-based product-focused organization that values independent problem-solving, rigorous experimentation, and measurable business impact.
Design and scale web scraping infrastructure for collecting millions of social media records daily.
Build fault-tolerant pipelines using Python/Go, browser automation, and anti-bot bypass techniques.
Manage distributed queues, storage lakes, and monitoring for reliable data delivery at scale.
The hiring partner company builds high-performance web scraping and data ingestion infrastructure for social media and AI workflows. It values reliability, performance, and continuous improvement, though its size and culture are not detailed.
Develop machine learning algorithms for device identification using noisy, unlabeled data.
Design supervised, semi-supervised, and unsupervised ML approaches.
Own projects from research through deployment to real-time services.
This partner company develops a high-volume, real-time identification platform for browsers and devices. It prioritizes engineering excellence and data-driven decisions, with a globally distributed team of specialists.